{"id":"W2056918981","doi":"10.1139/cgj-2014-0209","title":"Capacity of dynamically installed anchors as assessed through field testing and three-dimensional large-deformation finite element analyses","year":2014,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Geotechnical Engineering and Soil Mechanics","field":"Engineering","cited_by":71,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Embedment; Finite element method; Geotechnical engineering; Deformation (meteorology); Structural engineering; Envelope (radar); Moment (physics); Geology; Structural load; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008010257,0.0006054043,0.0004064433,0.0009394098,0.0003786789,0.0005010823,0.001018346,0.0006619059,0.001592916],"category_scores_gemma":[0.001993228,0.0004257291,0.0003109596,0.0004341632,0.00100227,0.0008537348,0.0006305081,0.0004747645,0.0005421165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004435116,"about_ca_system_score_gemma":0.0004368034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001492084,"about_ca_topic_score_gemma":0.004073496,"domain_scores_codex":[0.9995143,0.00003752985,0.00003241431,0.00008266491,0.0002112745,0.0001217821],"domain_scores_gemma":[0.998609,0.0004151057,0.0002373,0.0002371598,0.0003445146,0.000156987],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007102852,0.0002318337,0.01663833,0.0001473081,0.00002142753,0.0005871839,0.0003231187,0.06277812,0.8988542,0.0004822658,0.0001919786,0.01903397],"study_design_scores_gemma":[0.00009423566,0.003625271,0.1348725,0.00006289673,0.00009779054,0.0006435124,0.001003059,0.1615375,0.6945231,0.0005732268,0.002818419,0.0001485754],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965707,0.00002491669,0.002695491,0.000009536528,0.000005378071,0.0000143597,0.0001651405,0.00006034011,0.0004541982],"genre_scores_gemma":[0.9985083,0.00002602137,0.001001351,0.00000220656,0.000001081459,0.00001259309,0.00009770422,0.000008972237,0.0003418728],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001592916,"threshold_uncertainty_score":0.005328774,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0213277750446184,"score_gpt":0.2339672355381039,"score_spread":0.2126394604934856,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}